Zobrazeno 1 - 10
of 62 286
pro vyhledávání: '"WANG, Tao"'
The safety monitoring for nonlinear dynamical systems with embedded neural network components is addressed in this paper. The interval-observer-based safety monitor is developed consisting of two auxiliary neural networks derived from the neural netw
Externí odkaz:
http://arxiv.org/abs/2411.10262
In this paper, a data-driven approach is developed for controller design for a class of discrete-time large-scale systems, where a large-scale system can be expressed in an equivalent data-driven form and the decentralized controllers can be paramete
Externí odkaz:
http://arxiv.org/abs/2411.10243
In clinical medicine, precise image segmentation can provide substantial support to clinicians. However, achieving such precision often requires a large amount of finely annotated data, which can be costly. Scribble annotation presents a more efficie
Externí odkaz:
http://arxiv.org/abs/2411.10237
Autor:
Zhao, Cheng, Huang, Song, He, Mengfan, Montero-Camacho, Paulo, Liu, Yu, Renard, Pablo, Tang, Yunyi, Verdier, Aurelien, Xu, Wenshuo, Yang, Xiaorui, Yu, Jiaxi, Zhang, Yao, Zhao, Siyi, Zhou, Xingchen, He, Shengyu, Kneib, Jean-Paul, Li, Jiayi, Li, Zhuoyang, Wang, Wen-Ting, Xianyu, Zhong-Zhi, Zhang, Yidian, Gsponer, Rafaela, Li, Xiao-Dong, Rocher, Antoine, Zou, Siwei, Tan, Ting, Huang, Zhiqi, Wang, Zhuoxiao, Li, Pei, Rombach, Maxime, Dong, Chenxing, Forero-Sanchez, Daniel, Shan, Huanyuan, Wang, Tao, Li, Yin, Zhai, Zhongxu, Wang, Yuting, Zhao, Gong-Bo, Shi, Yong, Mao, Shude, Huang, Lei, Guo, Liquan, Cai, Zheng
The MUltiplexed Survey Telescope (MUST) is a 6.5-meter telescope under development. Dedicated to highly-multiplexed, wide-field spectroscopic surveys, MUST observes over 20,000 targets simultaneously using 6.2-mm pitch positioning robots within a ~5
Externí odkaz:
http://arxiv.org/abs/2411.07970
Autor:
Lu, Kaixuan, Zhang, Ruiqian, Huang, Xiao, Xie, Yuxing, Ning, Xiaogang, Zhang, Hanchao, Yuan, Mengke, Zhang, Pan, Wang, Tao, Liao, Tongkui
Recent self-supervised learning (SSL) methods have demonstrated impressive results in learning visual representations from unlabeled remote sensing images. However, most remote sensing images predominantly consist of scenographic scenes containing mu
Externí odkaz:
http://arxiv.org/abs/2411.06091
Autor:
Li, Jiang-Tao, Yu, Xiaodi, Mao, Huiyang, Chen, Hanxiao, Yang, Tiancheng, Qu, Zhijie, Bian, Fuyan, Bregman, Joel N., Cai, Zheng, Fan, Xiaohui, Fang, Taotao, Ji, Li, Ji, Zhiyuan, Johnson, Sean D., Li, Guoliang, Liu, Weizhe, Song, Ying-Yi, Wang, Feige, Wang, Tao, Wang, Xin, Williams, Christina, Xu, Mingxuan, Yang, Jinyi, Yang, Yang, Zheng, Xianzhong
The He II reionization epoch is expected to take place at $z\sim3-5$. In this stage, the helium and metals in the inter-galactic medium (IGM) are further ionized with additional contributions from harder non-stellar sources, and some large-scale grav
Externí odkaz:
http://arxiv.org/abs/2411.05396
In semi-supervised semantic segmentation (SSS), weak-to-strong consistency regularization techniques are widely utilized in recent works, typically combined with input-level and feature-level perturbations. However, the integration between weak-to-st
Externí odkaz:
http://arxiv.org/abs/2411.05307
Semi-supervised learning has received considerable attention for its potential to leverage abundant unlabeled data to enhance model robustness. Pseudo labeling is a widely used strategy in semi supervised learning. However, existing methods often suf
Externí odkaz:
http://arxiv.org/abs/2411.04493
Video captioning generate a sentence that describes the video content. Existing methods always require a number of captions (\eg, 10 or 20) per video to train the model, which is quite costly. In this work, we explore the possibility of using only on
Externí odkaz:
http://arxiv.org/abs/2411.04059